Literature DB >> 35105008

Triangular body-cover model of the vocal folds with coordinated activation of the five intrinsic laryngeal muscles.

Gabriel A Alzamendi1, Sean D Peterson2, Byron D Erath3, Robert E Hillman4, Matías Zañartu5.   

Abstract

Poor laryngeal muscle coordination that results in abnormal glottal posturing is believed to be a primary etiologic factor in common voice disorders such as non-phonotraumatic vocal hyperfunction. Abnormal activity of antagonistic laryngeal muscles is hypothesized to play a key role in the alteration of normal vocal fold biomechanics that results in the dysphonia associated with such disorders. Current low-order models of the vocal folds are unsatisfactory to test this hypothesis since they do not capture the co-contraction of antagonist laryngeal muscle pairs. To address this limitation, a self-sustained triangular body-cover model with full intrinsic muscle control is introduced. The proposed scheme shows good agreement with prior studies using finite element models, excised larynges, and clinical studies in sustained and time-varying vocal gestures. Simulations of vocal fold posturing obtained with distinct antagonistic muscle activation yield clear differences in kinematic, aerodynamic, and acoustic measures. The proposed tool is deemed sufficiently accurate and flexible for future comprehensive investigations of non-phonotraumatic vocal hyperfunction and other laryngeal motor control disorders.

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Mesh:

Year:  2022        PMID: 35105008      PMCID: PMC8727069          DOI: 10.1121/10.0009169

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  34 in total

1.  The control of aerodynamics, acoustics, and perceptual characteristics during speech production.

Authors:  Jessica E Huber; Elaine T Stathopoulos; Joan E Sussman
Journal:  J Acoust Soc Am       Date:  2004-10       Impact factor: 1.840

2.  Simulated effects of cricothyroid and thyroarytenoid muscle activation on adult-male vocal fold vibration.

Authors:  Soren Y Lowell; Brad H Story
Journal:  J Acoust Soc Am       Date:  2006-07       Impact factor: 1.840

3.  Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Authors:  Matías Zañartu; Gabriel E Galindo; Byron D Erath; Sean D Peterson; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

4.  The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation.

Authors:  Daryush D Mehta; Víctor M Espinoza; Jarrad H Van Stan; Matías Zañartu; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

5.  Influence and interactions of laryngeal adductors and cricothyroid muscles on fundamental frequency and glottal posture control.

Authors:  Dinesh K Chhetri; Juergen Neubauer; Elazar Sofer; David A Berry
Journal:  J Acoust Soc Am       Date:  2014-04       Impact factor: 1.840

6.  The Relation of Articulatory and Vocal Auditory-Motor Control in Typical Speakers.

Authors:  Rosemary A Lester-Smith; Ayoub Daliri; Nicole Enos; Defne Abur; Ashling A Lupiani; Sophia Letcher; Cara E Stepp
Journal:  J Speech Lang Hear Res       Date:  2020-10-20       Impact factor: 2.297

7.  Correspondence between laryngeal vocal fold movement and muscle activity during speech and nonspeech gestures.

Authors:  Christopher J Poletto; Laura P Verdun; Robert Strominger; Christy L Ludlow
Journal:  J Appl Physiol (1985)       Date:  2004-05-07

8.  Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration.

Authors:  Juan P Cortés; Víctor M Espinoza; Marzyeh Ghassemi; Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman; John V Guttag; Matías Zañartu
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

9.  Estimation of Subglottal Pressure, Vocal Fold Collision Pressure, and Intrinsic Laryngeal Muscle Activation From Neck-Surface Vibration Using a Neural Network Framework and a Voice Production Model.

Authors:  Emiro J Ibarra; Jesús A Parra; Gabriel A Alzamendi; Juan P Cortés; Víctor M Espinoza; Daryush D Mehta; Robert E Hillman; Matías Zañartu
Journal:  Front Physiol       Date:  2021-09-01       Impact factor: 4.566

10.  Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Matías Zañartu; Marzyeh Ghassemi; John V Guttag; Víctor M Espinoza; Juan P Cortés; Harold A Cheyne; Robert E Hillman
Journal:  Front Bioeng Biotechnol       Date:  2015-10-16
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  1 in total

1.  LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production.

Authors:  Hasini R Weerathunge; Gabriel A Alzamendi; Gabriel J Cler; Frank H Guenther; Cara E Stepp; Matías Zañartu
Journal:  PLoS Comput Biol       Date:  2022-06-23       Impact factor: 4.779

  1 in total

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